Teaching statistics for the future: the MOOC revolution and beyond

1. Who am I?
2. A brief taxonomy and history of online educational models
3. Massive Open Online Courses (MOOCs)
4. JHU Biostat involvement in Coursera
5. Novel moving target directions of the field of statistics
6. Data Science Specialization
7. swirl

• HTML5 using Rstudio presenter
• Appear on github at (https://github.com/bcaffo/MOOCtalk) fork if you'd like
• Jointly written with my collaborators Jeff Leek and Roger Peng
• CC licensed by-nc-sa

• Department of Biostatistics
• Center for Teaching and Learning
• Bloomberg School of Public Health
• Johns Hopkins University
• Coursera
• Team swirl
• Lauren and Ethan (Brian's 2013 interns)
• Contributions from github pull requests
• Tolerant families!
• Over a million intrepid self-learners

SMART (www.smart-stats.org)

resting state fMRI

Primary characteristics are open access, low cost, scalable, online

(every letter is negotiable, from Wikipedia citing Mathieu Plorde)

Important number: production time per hour of video time

• Example from data science inference
• Recent better work

• Portable green screen with lights
• Cintiq 22inch display
• Yeti usb microphone
• Camtasia

Main source for student interaction

(Forums can be brutal)

Original three

• Brian Caffo, Roger Peng, Jeff Leek
• Run 09/2012, 09/2012, 01/2013
  

Error in file(file, "rt") : cannot open the connection